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OPUS-Dom: Applying the Folding-Based Method VECFOLD to Determine Protein Domain Boundaries

机译:OPUS-Dom:应用基于折叠的方法VECFOLD确定蛋白质域边界

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摘要

In this article, we present a de novo method for predicting protein domain boundaries, called OPUS-Dom. The core of the method is a novel coarse-grained folding method, VECFOLD, which constructs low-resolution structural models from a target sequence by folding a chain of vectors representing the predicted secondary-structure elements. OPUS-Dom generates a large ensemble of folded structure decoys by VECFOLD and labels the domain boundaries of each decoy by a domain parsing algorithm. Consensus domain boundaries are then derived from the statistical distribution of the putative boundaries and three empirical sequence-based domain profiles. OPUS-Dom generally outperformed several state-of-the-art domain prediction algorithms over various benchmark protein sets. Even though each VECFOLD-generated structure contains large errors, collectively these structures provide a more robust delineation of domain boundaries. The success of OPUS-Dom suggests that the arrangement of protein domains is more a consequence of limited coordination patterns per domain arising from tertiary packing of secondary-structure segments, rather than sequence-specific constraints.
机译:在本文中,我们提出了一种预测蛋白结构域边界的从头开始的方法,称为OPUS-Dom。该方法的核心是一种新颖的粗粒度折叠方法VECFOLD,该方法通过折叠代表预测的二级结构元素的向量链,从目标序列构建低分辨率结构模型。 OPUS-Dom通过VECFOLD生成了大量的折叠结构诱饵,并通过域解析算法标记了每个诱饵的域边界。然后从推定边界的统计分布和三个基于经验序列的域配置文件中得出共识域边界。在各种基准蛋白质组上,OPUS-Dom通常优于几种最先进的域预测算法。即使每个VECFOLD生成的结构都包含较大的错误,但这些结构共同提供了更可靠的域边界描述。 OPUS-Dom的成功表明,蛋白结构域的排列更多是由于二级结构片段的三级堆积而不是序列特异性的限制,导致每个结构域的配位方式有限。

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